4 citations · 11 across the 11 of their papers we have counts for
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cs.LG2024★ 2 cited
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
Yili Wang, Yixin Liu, Xu Shen +6
To build safe and reliable graph machine learning systems, unsupervised graph-level anomaly detection (GLAD) and unsupervised graph-level out-of-distribution (OOD) detection (GLOD)…
cs.LG2024
Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models
Xu Shen, Yili Wang, Kaixiong Zhou +2
The open-world test dataset is often mixed with out-of-distribution (OOD) samples, where the deployed models will struggle to make accurate predictions. Traditional detection metho…